BALANCING THERMAL AND VISUAL COMFORT THROUGH MULTI-OBJECTIVE PARAMETRIC FORM OPTIMIZATION: A CASE FROM YAZD, IRAN

Mohammadmehdi Moulaii, Maryam Younesi

Abstract


Introduction. Building form plays a critical role in determining energy efficiency and occupant comfort, particularly in hotarid climates such as Yazd, Iran. This study proposes a passive design strategy that leverages parametric modeling and simulation to optimize residential building forms for both thermal and visual comfort. Methods. A multi-objective genetic algorithm was employed to identify optimal geometric configurations across four different floor area scenarios (250, 350, 450, and 650 m²). Four primary form typologies — cubic, L-shaped, U-shaped, and O-shaped — were parametrically generated and evaluated using thermal performance metrics and daylight indicators. The results demonstrate that a rectangular cuboid with a shape factor of approximately 1.8, oriented along the north-south axis, consistently provides superior thermal comfort compared to other forms. Energy analysis revealed that the optimized configurations can reduce total energy consumption by up to 38.6 % while maintaining acceptable indoor environmental quality. This methodology supports data-driven decision-making in the early conceptual design phase, facilitating the development of contextsensitive, energy-efficient housing solutions in arid regions.

Keywords


multi-objective optimization; parametric form; thermal comfort; visual comfort; genetic algorithm; sustainable design; energy efficiency

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Aksoy, U. T. and Inalli, M. (2006). Impacts of some building passive design parameters on heating demand for a cold region. Building and Environment, 41 (12), pp. 1742–1754. DOI: 10.1016/j.buildenv.2005.07.011.

Ameur, M., Kharbouch, Y., and Mimet, A. (2020). Optimization of passive design features for a naturally ventilated residential building according to the bioclimatic architecture concept and considering the northern Morocco climate. Building Simulation, 13 (3), pp. 677–689. DOI: 10.1007/s12273-019-0593-6.

Bahramifar, B., Gharehbashloo, E., and Hosseini, A. (2021). Environmentally responsive design in the vernacular architecture of mountainous regions: The case of Kang village, Iran. Journal of Housing and the Built Environment, 37 (3), pp. 1283–1317. DOI: 10.1007/s10901-021-09880-7.

Bekkouche, S. M. A., Benouaz, T., Cherier, M. K., Hamdani, M., Yaiche, M. R., and Benamrane, N. (2013). Influence of the compactness index to increase the internal temperature of a building in Saharan climate. Energy and Buildings, 66, pp. 678–687. DOI: 10.1016/j.enbuild.2013.07.077.

Delgarm, N., Sajad, B., and Delgarm, S. (2016). Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC). Energy and Buildings, 131, pp. 42–53. DOI: 10.1016/j.enbuild.2016.09.003.

Faizi, F., Noorani, M., Ghaedi, A., and Mahdavinejad, M. (2011). Design an optimum pattern of orientation in residential complexes by analyzing the level of energy consumption (case study: Maskan Mehr complexes, Tehran, Iran). Procedia Engineering, 21, pp. 1179-1187. DOI: 10.1016/j.proeng.2011.11.2128.

Fallahpour, M. (2015). Investigating the Location of Residential Complexes in Yazd City according to the Climatic Parameters of Wind and Solar Radiation [Conference paper, in Persian]. The First Annual Conference of Architecture, Urban Planning & Urban Management. Available at: https://www.sid.ir/FileServer/SF/3691394H01104 (accessed on: 09.03.2025).

Fang, Y. and Cho, S. (2019). Design optimization of building geometry and fenestration for daylighting and energy performance. Solar Energy, 191, pp. 7–18. DOI: 10.1016/j.solener.2019.08.039.

Feng, J., Luo, X., Gao, M., Abbas, A., Xu, Y., and Pouramini, S. (2021). Minimization of energy consumption by building shape optimization using an improved Manta-Ray Foraging Optimization algorithm. Energy Reports, 7, pp. 1068–1078. DOI: 10.1016/j.egyr.2021.02.028.

Foruzanmehr, A. (2015). People’s perception of the loggia: A vernacular passive cooling system in Iranian architecture. Sustainable Cities and Society, 19, pp. 61–67. DOI: 10.1016/j.scs.2015.07.002.

Gerber, D. J., and Lin McNaughton, E.S. (2013). Designing in complexity: Simulation, integration, and multidisciplinary design optimization for architecture. Simulation, 90 (8), pp. 936–950. DOI: 10.1177/0037549713482027.

Gou, S., Nik, V. M., Scartezzini, J. L., Zhao, Q., and Li, Z. (2017). Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand. Energy and Buildings, 169, pp. 484–506. DOI: 10.1016/j.enbuild.2017.09.095.

Hemsath, T. L. and Bandhosseini, K. A. (2015). Sensitivity analysis evaluating basic building geometry’s effect on energy use. Renewable Energy, 76, pp. 526–538. DOI: 10.1016/j.renene.2014.11.044.

Humphreys, M. A. and Nicol, J. F. (1998). Understanding the adaptive approach to thermal comfort. ASHRAE Transactions, 104 (1), pp. 991–1004.

Izadpanahi, P., Mahmoudi Farahani, L., and Nikpey, R. (2021). Lessons from Sustainable and Vernacular Passive Cooling Strategies Used in Traditional Iranian Houses. Journal of Sustainability Research, 3 (3), e210014. DOI: 10.20900/jsr20210014.

Jahanbakhsh, S. and Esmaeelpour, N. (2004). Basics of Climatic Design of Residential Units in Yazd City (Thermal and Lighting Basics) [in Persian]. The Geographical Quarterly of the Land. Available at: https://sid.ir/paper/454406/fa (accessed on: 12.03.2026).

Jamalpour, S. and Arbaban, A. (2016). The Effect of Climate on the Formation of the Architecture of Yazd Houses [Conference paper, in Persian]. National Conference on Native Iranian Architecture and Urban Planning. Available at: https://civilica.com/doc/544758 (accessed on: 09.03.2025).

Konis, K., Gamas, A., and Kensek, K. (2016). Passive performance and building form: An optimization framework for earlystage design support. Solar Energy, 125, pp. 161–179. DOI: 10.1016/j.solener.2015.12.020.

Lu, S., Wang, R., and Zheng, S. (2017). Passive optimization design based on particle swarm optimization in rural buildings of the hot summer and warm winter zone of China. Sustainability, 9(12), p. 2288. DOI: 10.3390/su9122288.

Lucarelli, C. C., Carlo, J. C., and Martinez, A. C. P. (2020). Simulation-based optimization for an origami-shaped canopy. PARC: Pesquisa em Arquitetura e Construção, 11, p. e020001. DOI: 10.20396/parc.v11i0.8652766.

Manshour, S. and Lehmann, S. (2025). A systematic review of passive cooling strategies integrating traditional wisdom and modern innovations for sustainable development in arid urban environments. Environmental Science and Engineering. DOI: 10.48550/arXiv.2507.09365.

Mingfang, T. (2002). Solar control for buildings. Building and Environment, 37 (7), pp. 659–664. DOI: 10.1016/S0360-1323(01)00063-4.

Mohammadi, A., Saghafi, M. R., Tahbaz, M., and Nasrollahi, F. (2018). The study of climate-responsive solutions in traditional dwellings of Bushehr City in Southern Iran. Journal of Building Engineering, 16, pp. 169–183. DOI: 10.1016/j.jobe.2017.12.014.

Mohammed, S. A., Awad, O. A., and Radhi, A. M. (2020). Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 20 (3), pp. 1613–1625. DOI: 10.11591/ijeecs.v20.i3.pp1613-1625.

Motazedian, F. (2019). Analysis of optimum window-to-wall ratio in horizontally expanded and vertically expanded windows in Tehran, Iran. International Journal of Architectural Engineering & Urban Planning, 29 (1), pp. 61–68.

Moulaii, M. M., Mahdavinejad, M., and Gheisar, M. (2011). The status of energy efficient usage of smart materials in sustainable built environment in hot and dry climates (case study: Middle Eastern countries). In Proceedings of the International Conference on Intelligent Building and Management (Vol. 5). IACSIT Press, Singapore. Available at: https://scispace.com/pdf/the-statusof-energy-efficient-usage-of-smart-materials-in-327nysrr0v.pdf (09.03.2025).

Moulaii, M. and Younesi, M. (2025). Multi-objective optimization of parametric form of native residential building based on comfort in hot and dry climate of Yazd city [in Persian]. Naqshejahan-Basic studies and New Technologies of Architecture and Planning, 14 (4), pp. 47–84.

Omrany, H. and Marsono, A. K. (2015). Optimization of building energy performance through hybridization design strategies. British Journal of Applied Science & Technology, 13 (6), pp. 1–16. DOI: 10.9734/BJAST/2016/23116.

Orosa, J. A. and Oliveira, A. C. (2011). A new thermal comfort approach comparing adaptive and PMV models. Renewable Energy, 36 (3), pp. 951–956. DOI: 10.1016/j.renene.2010.09.013.

Østergaard, T., Jensen, R. L., and Maagaard, S. E. (2016). Building simulations supporting decision making in early design – A review. Renewable and Sustainable Energy Reviews, 61 (6), pp. 187–201. DOI: 10.1016/j.rser.2016.03.045.

Rana, D. S., Malhotra, R., Kumar, D., and Aghi, G. (2021). Guidelines for optimum visual comfort derived from key performance parameters. The Energy and Resources Institute. DOI: 10.13140/RG.2.2.36549.63208.

Sadooghi, A., Kibert, C., Mirmohammad Sadeghi, F., and Jafari, S. (2019). Thermal performance analysis of a traditional passive cooling system in Dezful, Iran. Tunnelling and Underground Space Technology, 83, pp. 291–302. DOI: 10.1016/j.tust.2018.09.024.

Shafavi Moghaddam, N., Zomorodian, Z. S., and Tahsildoost, M. (2019). Ability of daylight indicators in estimating adequate lighting in space based on user assessments: Case study: Architecture design studios in Tehran [in Persian]. Soffeh, 29 (3), pp. 37–56. DOI: 10.29252/soffeh.29.3.37.

Shahamat, H. (2014). Formal sustainability in traditional architecture of Iran according to five principles of traditional architecture of Iran. Journal of Applied Environmental Biological Sciences, 4 (1), pp. 100–110.

Shahbazi, Y., Heydari, M., and Haghparast, F. (2019). An early-stage design optimization for office buildings’ facade providing high-energy performance and daylight. Indoor and Built Environment, 28 (10), pp. 1350–1367. DOI: 10.1177/1420326X19840761.

Si, B., Wang, J., Yao, X., Shi, X., Jin, X., and Zhou, X. (2019). Multi-objective optimization design of a complex building based on an artificial neural network and performance evaluation of algorithms. Advanced Engineering Informatics, 40, pp. 93–109.

Stazi, F., Naspi, F., Ulpiani, G., and Di Perna, C. (2017). Indoor air quality and thermal comfort optimization in classrooms developing an automatic system for windows opening and closing. Energy and Buildings, 139, pp. 732–746. DOI: 10.1016/j.enbuild.2017.01.017.

Steadman, P. (2006). Why are most buildings rectangular? Architectural Research Quarterly, 10 (2), pp. 119–130. DOI: 10.1017/S1359135506000200.

Sun, Z., Cao, Y., Wang, X., and Yu, J. (2021). Multi-objective optimization design for windows and shading configuration considering energy consumption, thermal environment, visual performance and sound insulation effect. International Journal of Energy and Environmental Engineering, 12 (3), pp. 1–15. DOI: 10.1007/s40095-021-00413-0.

Tang, R. and Wang, S. (2019). Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids. Applied Energy, 242, pp. 873–882. DOI: 10.1016/j.apenergy.2019.03.038.

Wortmann, T. and Nannicini, G. (2017). Introduction to architectural design optimization. City Networks – Planning for Health and Sustainability. Springer International Publishing, pp. 1–25. DOI: 10.1007/978-3-319-65338-9_14.

Zarei, M. and Mirdehghan, F. (2015). The role of the central courtyard pattern in adjusting the harsh conditions of the hot and dry climate of Yazd region [in Persian]. Irani Islamic Shahr Journal, 6 (23), pp. 5–18.

Zou, Y., Zhan, Q., and Xiang, K. (2021). A comprehensive method for optimizing the design of a regular architectural space to improve building performance. Energy Reports, 7, pp. 981–996. DOI: 10.1016/j.egyr.2021.01.097.


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